Brainina (Povolzhye State U. of Telecommunication and Informatics,
Russia) shares the results of her many years studying the theory of
excursions as it applies to adaptive radio communications systems. A
highlight is that she manages to apply calculation methods chosen for
Gaussian processes to a larger class of non-Gaussian random processes.
The formulae she obtained--both the precise and the approximate--are
rather simple, she says, and can be applied in many fields where signals
must be recognized against background noise. Among her topics are
probability characteristics of random processes, estimating distribution
densities of excursion durations for random stationary broadband
signals, using a family of correlation functions of a clipped random
process to increase the accuracy of level-crossing parameter estimation,
and a methodology for designing adaptable analyzers used to measure the
parameters of excursions in stationary random processes. Print volumes
in the Elsevier Insights series do not contain indexes or color
illustrations.

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